Perform a linear regression using Height as the independent variable and WingSpan as the dependent variable. What is the equation of the regression line?

2) What is the R2 value of the regression? What does this mean in terms of the data?

3) Using your regression equation from #1, what is the predicted wingspan of a person who is 65 inches tall? Can this prediction be trusted? Why or why not?

4) Using your regression equation from #1, what is the predicted wingspan of a person who is 76 inches tall? Can this prediction be trusted? Why or why not?

5) What is the correlation coefficient of the variables Height and WingSpan?

6) Based on your correlation, would you say that being taller causes a longer wingspan?

7) Test the hypothesis that β≠0, with Weight as the independent variable and Pulse Rate (Pr) as the dependent variable. Include hypotheses, assumption checks, a screenshot of your code, and a conclusion/interpretation.

Hypotheses

H0: list the null hypothesis here

Ha: list the alternative hypothesis here

Assumptions

Include your assumption checks here.

Work

Paste a screenshot of your work in R here.

Conclusion & Interpretation

Provide conclusion and interpretation here. Make sure to highlight the p-value

8) Test the hypothesis that ρ≠0, with Height as the independent variable and Reaction Time (Rct) as the dependent variable. Show your hypotheses, and conclude/interpret.